Location
Canada
Study Format
On Campus
Course language
English
Study Fields
Mathematics, Statistics, Computer Science, Data Science
Duration
1 Year 4 Months
Academic pace
Full Time
Degree
Master of Science (MSc)
Tuition Fee
Request info
Location
Canada
Study Format
On Campus
Course language
English
Study Fields
Mathematics, Statistics, Computer Science, Data Science
Duration
1 Year 4 Months
Academic pace
Full Time
Degree
Master of Science (MSc)
Tuition Fee
Request info
Trent is one of the first universities in Canada to work to fill the training gap for professionals in data science. You will be uniquely prepared with the tools and techniques you require to work with and analyze today’s increasingly complex data sets in all areas of the sciences, as well as the business world. This professional program can be completed in 16 months and emphasizes practical skills in visualization, data mining, cloud-based approaches and parallel programming skills. Prepare for careers including Chief Data Officer, Data Scientist, Data Solutions Architect, Business Manager and Business Analyst.
There are three primary objectives of the program:
For the thesis-based stream, students are involved both in thesis research and coursework in their "home" discipline and in interdisciplinary study. They carry out coursework in the foundations and methods of quantitative modeling and participate in an interdisciplinary seminar. In this seminar, the student discusses, in a way comprehensible to the audience, the system being modeled, the model developed, and the means of validation of the model; here the emphasis is upon the modeling process itself rather than on the relevance of the results to the discipline of the research. Through this seminar, the students develop the skills required to communicate with researchers outside their own discipline and develop a perspective on their own and other disciplines not obtainable from within a single-discipline context.
Cross-Disciplinary Boundaries as you Explore and Apply Modelling Techniques to your Research
Thesis-based: Earn an M.A. or an M.Sc. in the theory of modeling and the application of techniques in the natural sciences or social sciences. Interdisciplinary collaboration is at the core of this program as students with backgrounds in economics and computer science come together with those from math and psychology, and beyond. As you complete your coursework and conduct your research, you will be sharing ideas with classmates from an array of disciplines. Immersed in this multidisciplinary environment, you will develop new perspectives that will position you well for the future.
Two course-based options:
One of Canada's top universities, Trent University was founded on the ideal of interactive learning that's personal, purposeful and transformative.
Consistently recognized nationally for leadership in teaching, research and student satisfaction, Trent attracts excellent students from across the country and around the world.
Here, undergraduate and graduate students connect and collaborate with faculty, staff and their peers through diverse communities that span residential colleges, classrooms, disciplines, hands-on research, co-curricular and community-based activities.
Across all disciplines, Trent brings critical, integrative thinking to life every day. Trent's unique approach to personal development through supportive, collaborative community engagement is in more demand than ever. Students lead the way by co-creating experiences rooted in dialogue, diverse perspectives and collaboration.
In a learning environment that builds a life-long passion for inclusion, leadership and social change, Trent's students, alumni, faculty and staff are engaged global citizens who are catalysts in developing sustainable solutions to complex issues.
Trent's Peterborough campus boasts award-winning architecture in a breathtaking natural setting on the banks of the Otonabee River, just 90 minutes from downtown Toronto, while the Durham GTA campus offers a close-knit community with an urban vibe, conveniently located in Oshawa, 40 minutes from downtown Toronto.
We respectfully acknowledge that we are on the traditional territory of the Mississauga Anishinaabeg. We offer our gratitude to First Peoples for their care for, and teachings about, our earth and our relations. May we honor those teachings.
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